Identifying Acoustic Wave Sources on the Sun. I. Two-dimensional Waves in a Simulated Photosphere

The solar acoustic oscillations are likely stochastically excited by convective dynamics in the photosphere, though few direct observations of individual source events have been made and their detailed characteristics still unknown. Wave identification requires measurements that can reliably discriminate local wave signal from background motions resonant modal power. This is quite challenging as these 'noise' contributions amplitudes several orders magnitude greater than sources propagating fields they induce. In this paper, we employ a high-temporal-frequency filter to identify sites emission radiative magnetohydrodynamic simulation. properties were determined convolutional neural network trained two-dimensional Green's function response atmosphere, but once defined, it be directly applied an image time series extract excitation, bypassing need for original network. Using developed, uncovered previously unknown process. simulation, found clustered at mesogranular scales, with peak deep, about 500 km below very strong result interaction two supersonic downflows merge depth. We suggest method when high-resolution high-cadence observations, such those forthcoming Daniel K. Inouye Solar Telescope (DKIST), will important applications chromospheric wave-studies may lead new investigations local-helioseismology.